Overview
This IEEE conference talk presents a novel group selection method for virtual reality environments that enhances multi-object selection efficiency through probability-based permutation. Learn how researchers from Beihang University and Nanjing University of Posts and Telecommunications developed a technique that improves batch selection by rearranging objects based on interactive selection and probability computation across multiple rounds. The 11-minute presentation demonstrates how this approach significantly streamlines the process of grouping multiple objects in VR, making complex selection tasks more intuitive and efficient for users. Part of the "Immersive analytics and visualization" session at IEEE VR 2025.
Syllabus
PwP: Permutating with Probability for Efficient Group Selection in VR
Taught by
IEEE Virtual Reality Conference